%0 Journal Article
%T Position value-based sequential pattern mining algorithm<br>基于位置信息的序列模式挖掘算法*
%A ZHANG Li-jun
%A LI Zhan-huai
%A WANG Miao
%A <br>张利军
%A 李战怀
%A 王淼
%J 计算机应用研究
%D 2009
%I 
%X More project databases are produced when PrefixSpan mines frequent sequential patterns.This paper developed the position value-based sequential pattern mining approach, PVS, which could produce all the sequential patterns without candidate set. And it also recorded the position value of each produced project database, escape of producing the same project database. The experiment shows PVS is more feasible and efficient than PrefixSpan when dealing similar sequential database.
%K prefix
%K sequential pattern
%K project database
%K position value<br>前缀
%K 序列模式
%K 投影数据库
%K 位置信息
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=2FF20D9A4BCD8F6F71E103C51989457A&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=0B39A22176CE99FB&sid=2A2AA8B7E19F0DF7&eid=20ADD38F841C6A4B&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=11